IL301126A - Efficient compound engine - Google Patents
Efficient compound engineInfo
- Publication number
- IL301126A IL301126A IL301126A IL30112623A IL301126A IL 301126 A IL301126 A IL 301126A IL 301126 A IL301126 A IL 301126A IL 30112623 A IL30112623 A IL 30112623A IL 301126 A IL301126 A IL 301126A
- Authority
- IL
- Israel
- Prior art keywords
- convolver
- row
- data
- input
- units
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F5/00—Methods or arrangements for data conversion without changing the order or content of the data handled
- G06F5/01—Methods or arrangements for data conversion without changing the order or content of the data handled for shifting, e.g. justifying, scaling, normalising
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0495—Quantised networks; Sparse networks; Compressed networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/046—Forward inferencing; Production systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Neurology (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Complex Calculations (AREA)
- Lubrication Of Internal Combustion Engines (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862642578P | 2018-03-13 | 2018-03-13 | |
| US201862694290P | 2018-07-05 | 2018-07-05 | |
| PCT/US2019/017787 WO2019177735A1 (en) | 2018-03-13 | 2019-02-13 | Efficient convolutional engine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| IL301126A true IL301126A (en) | 2023-05-01 |
Family
ID=65635810
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL301126A IL301126A (en) | 2018-03-13 | 2019-02-13 | Efficient compound engine |
| IL295915A IL295915A (en) | 2018-03-13 | 2019-02-13 | Efficient convolutional engine |
| IL277197A IL277197B2 (en) | 2018-03-13 | 2020-09-07 | Efficient compound engine |
Family Applications After (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL295915A IL295915A (en) | 2018-03-13 | 2019-02-13 | Efficient convolutional engine |
| IL277197A IL277197B2 (en) | 2018-03-13 | 2020-09-07 | Efficient compound engine |
Country Status (7)
| Country | Link |
|---|---|
| US (6) | US11468302B2 (de) |
| EP (4) | EP4220488B1 (de) |
| JP (2) | JP7171883B2 (de) |
| KR (1) | KR102516039B1 (de) |
| CN (1) | CN112236783B (de) |
| IL (3) | IL301126A (de) |
| WO (1) | WO2019177735A1 (de) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11514136B2 (en) * | 2019-05-17 | 2022-11-29 | Aspiring Sky Co. Limited | Circuit for neural network convolutional calculation of variable feature and kernel sizes |
| US12254405B2 (en) * | 2021-03-12 | 2025-03-18 | Qualcomm Incorporated | Processing data in pixel-to-pixel neural networks |
| US11782310B2 (en) * | 2021-12-07 | 2023-10-10 | 3M Innovative Properties Company | Backlighting for display systems |
| US12456035B2 (en) * | 2021-12-08 | 2025-10-28 | Black Sesame Technologies Inc. | Neural networks graph partitioning system and method for the same |
| CN114371829B (zh) * | 2022-01-05 | 2024-07-26 | 华中科技大学 | 多项式乘法器中的数据处理方法、多项式乘法器及处理器 |
| JP7784945B2 (ja) * | 2022-04-21 | 2025-12-12 | 株式会社日立製作所 | 情報処理装置、情報処理方法、情報処理プログラム、ソフトウェア作成装置、ソフトウェア作成方法、及びソフトウェア作成プログラム |
| US11762946B1 (en) * | 2022-09-23 | 2023-09-19 | Recogni Inc. | Systems for using shifter circuit and 3×3 convolver units to emulate functionality of larger sized convolver units |
| US20240330660A1 (en) * | 2023-03-31 | 2024-10-03 | Stmicroelectronics International N.V. | Neural network including local storage unit |
| CN120874928B (zh) * | 2025-09-26 | 2025-12-16 | 中国人民解放军军事科学院国防科技创新研究院 | 应用于量化神经网络卷积层的可变精度计算单元的设计方法及使用方法 |
| US12688254B1 (en) | 2026-02-27 | 2026-07-21 | Tensordyne, Inc. | Method and apparatus for logarithmic mathematics in AI matrix multiplications |
Family Cites Families (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4347580A (en) * | 1980-07-21 | 1982-08-31 | The United States Of America As Represented By The Secretary Of The Navy | Array convolver/correlator |
| US5014235A (en) * | 1987-12-15 | 1991-05-07 | Steven G. Morton | Convolution memory |
| US5138695A (en) | 1989-10-10 | 1992-08-11 | Hnc, Inc. | Systolic array image processing system |
| US5949920A (en) * | 1996-08-13 | 1999-09-07 | Hewlett-Packard Co. | Reconfigurable convolver circuit |
| US10572824B2 (en) * | 2003-05-23 | 2020-02-25 | Ip Reservoir, Llc | System and method for low latency multi-functional pipeline with correlation logic and selectively activated/deactivated pipelined data processing engines |
| WO2009120232A1 (en) * | 2008-03-27 | 2009-10-01 | Ge Healthcare Bioscience Bioprocess Corp. | A method for preventing an unauthorized use of disposable bioprocess components |
| US8533250B1 (en) * | 2009-06-17 | 2013-09-10 | Altera Corporation | Multiplier with built-in accumulator |
| US8442927B2 (en) | 2009-07-30 | 2013-05-14 | Nec Laboratories America, Inc. | Dynamically configurable, multi-ported co-processor for convolutional neural networks |
| US9477999B2 (en) | 2013-09-20 | 2016-10-25 | The Board Of Trustees Of The Leland Stanford Junior University | Low power programmable image processor |
| US10417525B2 (en) * | 2014-09-22 | 2019-09-17 | Samsung Electronics Co., Ltd. | Object recognition with reduced neural network weight precision |
| US10223635B2 (en) * | 2015-01-22 | 2019-03-05 | Qualcomm Incorporated | Model compression and fine-tuning |
| US9965824B2 (en) | 2015-04-23 | 2018-05-08 | Google Llc | Architecture for high performance, power efficient, programmable image processing |
| US10373050B2 (en) * | 2015-05-08 | 2019-08-06 | Qualcomm Incorporated | Fixed point neural network based on floating point neural network quantization |
| US10049322B2 (en) * | 2015-05-21 | 2018-08-14 | Google Llc | Prefetching weights for use in a neural network processor |
| US20160379109A1 (en) | 2015-06-29 | 2016-12-29 | Microsoft Technology Licensing, Llc | Convolutional neural networks on hardware accelerators |
| KR102325602B1 (ko) | 2015-07-06 | 2021-11-12 | 삼성전자주식회사 | 데이터를 병렬적으로 처리하는 장치 및 방법 |
| CN106203617B (zh) * | 2016-06-27 | 2018-08-21 | 哈尔滨工业大学深圳研究生院 | 一种基于卷积神经网络的加速处理单元及阵列结构 |
| US10546211B2 (en) * | 2016-07-01 | 2020-01-28 | Google Llc | Convolutional neural network on programmable two dimensional image processor |
| US20180007302A1 (en) * | 2016-07-01 | 2018-01-04 | Google Inc. | Block Operations For An Image Processor Having A Two-Dimensional Execution Lane Array and A Two-Dimensional Shift Register |
| US20180046903A1 (en) * | 2016-08-12 | 2018-02-15 | DeePhi Technology Co., Ltd. | Deep processing unit (dpu) for implementing an artificial neural network (ann) |
| JP2018067154A (ja) * | 2016-10-19 | 2018-04-26 | ソニーセミコンダクタソリューションズ株式会社 | 演算処理回路および認識システム |
| US9779786B1 (en) * | 2016-10-26 | 2017-10-03 | Xilinx, Inc. | Tensor operations and acceleration |
| JP6961011B2 (ja) | 2016-12-09 | 2021-11-05 | ベイジン ホライズン インフォメーション テクノロジー カンパニー リミテッド | データ管理のためのシステム及び方法 |
| WO2018138603A1 (en) * | 2017-01-26 | 2018-08-02 | Semiconductor Energy Laboratory Co., Ltd. | Semiconductor device and electronic device including the semiconductor device |
| CN106951395B (zh) | 2017-02-13 | 2018-08-17 | 上海客鹭信息技术有限公司 | 面向压缩卷积神经网络的并行卷积运算方法及装置 |
| CN106951961B (zh) | 2017-02-24 | 2019-11-26 | 清华大学 | 一种粗粒度可重构的卷积神经网络加速器及系统 |
| US10489878B2 (en) | 2017-05-15 | 2019-11-26 | Google Llc | Configurable and programmable image processor unit |
| CN118821876A (zh) * | 2017-05-19 | 2024-10-22 | 莫维迪乌斯有限公司 | 用于提高卷积效率的方法、系统和装置 |
| US10929746B2 (en) | 2017-11-27 | 2021-02-23 | Samsung Electronics Co., Ltd. | Low-power hardware acceleration method and system for convolution neural network computation |
| KR102931058B1 (ko) * | 2017-12-05 | 2026-02-24 | 삼성전자주식회사 | 뉴럴 네트워크에서 컨볼루션 연산을 처리하는 방법 및 장치 |
| US10747844B2 (en) * | 2017-12-12 | 2020-08-18 | Tesla, Inc. | Systems and methods for converting a matrix input to a vectorized input for a matrix processor |
| US11256977B2 (en) * | 2017-12-29 | 2022-02-22 | Facebook, Inc. | Lowering hardware for neural networks |
-
2019
- 2019-02-12 US US16/273,616 patent/US11468302B2/en active Active
- 2019-02-13 KR KR1020207029190A patent/KR102516039B1/ko active Active
- 2019-02-13 EP EP23166763.5A patent/EP4220488B1/de active Active
- 2019-02-13 IL IL301126A patent/IL301126A/en unknown
- 2019-02-13 EP EP19708715.8A patent/EP3766020B1/de active Active
- 2019-02-13 IL IL295915A patent/IL295915A/en unknown
- 2019-02-13 WO PCT/US2019/017787 patent/WO2019177735A1/en not_active Ceased
- 2019-02-13 EP EP25177710.8A patent/EP4583001A3/de active Pending
- 2019-02-13 EP EP25177620.9A patent/EP4583000A3/de active Pending
- 2019-02-13 CN CN201980028372.6A patent/CN112236783B/zh active Active
- 2019-02-13 JP JP2021500007A patent/JP7171883B2/ja active Active
-
2020
- 2020-09-07 IL IL277197A patent/IL277197B2/en unknown
-
2022
- 2022-07-08 US US17/811,409 patent/US11580372B2/en active Active
- 2022-07-08 US US17/811,417 patent/US11694069B2/en active Active
- 2022-07-08 US US17/811,416 patent/US11645504B2/en active Active
- 2022-07-08 US US17/811,410 patent/US11593630B2/en active Active
- 2022-07-08 US US17/811,412 patent/US11694068B2/en active Active
- 2022-11-02 JP JP2022176260A patent/JP2023014091A/ja not_active Abandoned
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